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AI Race in the Search Bar Era: Key Takeaways for Business Owners
In this rapidly evolving digital landscape, the integration of independent applications is underpinned with concerns over data privacy. Recognized faces in the tech industry like Google face scrutiny for their data handling practices, suggesting a need for alternatives to compete. Striking balance between integration and data privacy is crucial to maintain user trust.
Government Intervention and the Monopoly Challenge
Government intervention plays a vital role in preventing certain companies from monopolizing search capabilities and data. The shift of power in data ownership could pose a great challenge to smaller contenders. Hence, regulatory practices can ensure a fair, competitive environment.
The Power of AI in Daily Tasks
While AI development has seen a boom in tech circles, the waves of transformation haven't quite reached the general public as fast. Integrating the basics of AI into daily tasks can prove beneficial without the need for mastering complexities. This includes aiding in managing tasks efficiently, consolidating personal information to perform actions and predicting user queries to provide faster, precise results.
Transitioning from URLs to Search Bars
In today's Internet age, we are graduating from navigating the web through URLs to accessing services and information via search bars. This underlines the movement towards trusted AI assistance and how it impacts task management efficiency.
Visibility over Websites
For businesses, the domination of AI could redefine competition and efficiency. While larger firms might have an upper hand, small businesses should focus on platforms where they are visible, such as Yelp or Google Maps. Although websites may be losing some importance, certain industries could still benefit from maintaining an online presence.
The Commoditization of Large Language Models
The focus of queries in AI is shifting towards hardware or search bars, rather than perfecting large language models and subsequent updates. The amalgamation of AI software with hardware devices is leading to a more seamless and practical user experience.
The Transactional Future of AI
It is hypothesized that there may be a transition to a future where AI usage is transactional, with token or currency systems in play. Providers integrating AI with hardware could potentially have the upper hand in this emerging landscape.
Security and Privacy Implications
The integration of AI in daily devices means that user data from different sources could converge, which in turn arouses privacy concerns. The need for secure and private devices that interact directly with apps is more evident than ever.
Market Dynamics in the AI-Hardware Space
Well-established tech giants with years of hardware experience have an undeniable advantage, presenting a significant entry barrier for newer entrants.
The Rising Role of Software Platforms
In the realm of AI and search engines, integrating AI into daily tools and platforms provides a much-needed competitive edge. As AI continues to permeate our everyday lives, more intuitive integration methodologies will drive wider user adoption.
Topics Covered in This Episode
1. AI Search Integration, Privacy, and Security Concerns
2. Government Intervention and Competition
3. AI Understanding and Adoption
4. SEO Impact on Small Businesses
5. Control of Search Bar on Phone
Podcast Transcript
Jordan Wilson [00:00:16]:
Are large language models a commodity? Right? They're updated like a trillion times a day. Every time you look, someone has a new large language model. There's a new company, new reasoning models. Does it all matter? Or does it maybe come down to the hardware or even more specifically, the search bar where you start your query for what you ultimately want? We're gonna be answering some of those questions and talking about this a little bit more today on everyday AI. What's going on, y'all? My name is Jordan Wilson, and I'm the host. And everyday AI, this thing is for you. It's your daily livestream podcast and free daily newsletter, helping us all not just keep up with the trends and the topics that are going on in the world of AI, but how we can all actually use them and leverage that information to grow our companies and to grow our careers. Is that what you're doing? If so, awesome.
Jordan Wilson [00:01:11]:
You're in the right spot. So if you haven't already, please go to our website, your everydayai.com. Sign up for the free daily newsletter. Here's what happens inside. We recap each day's podcast interview, pulling out important insights to help you actually leverage what you're learning on today's show, as well as we keep you up with everything else happening in the world of AI. So, again, your everydayai.com. And if you are joining us and you wanna know what's happening right now in AI news, Technically, we got a prerecorded show debuting live. We still have today's AI news in the newsletter, so make sure you go check that out.
Jordan Wilson [00:01:49]:
Alright. I am excited today to talk about the AI race, and it's actually towards who owns the search bar on your phone. Might not just be about, you know, who can update the model and get the highest benchmarks on the LMS leaderboard. It might not be about that. It might be more hardware or the search bar. Alright. Don't worry. You don't gotta listen to me ramble on about this.
Jordan Wilson [00:02:12]:
We have a guest for today. So, I'm excited, to chat with Andrew Amann, who is the CEO at NineTwoThree AI Studio. Andrew, thank you so much for joining the Everyday AI Show.
Andrew Amann [00:02:23]:
Thanks Thanks for having me, Jordan. Pleasure to be here.
Jordan Wilson [00:02:25]:
Alright. I'm ready to geek out about AI. But before we do, Andrew, tell everyone real quick about what it is y'all do at 923AI Studio.
Andrew Amann [00:02:33]:
Sure. So we're an AI development agency. We've been around for 12 years. And for the last 8 years, we've been building AI products. And that doesn't mean we've been building GenAI products. We've been building machine learning, time series, things that are not generative AI, AKA ChatGPT. But in the last 2 years now, we've done about 2 dozen projects around, generative AI or ChatGPT. But our experience entails, you know, machine learning and and GenAI with that whatever it is.
Andrew Amann [00:02:59]:
It's a lengthy project of incorporating somebody's, problems or workflow inefficiencies and solving for them and creating an AI solution for them and then selling it back to them. Well, basically, they're buying it, but the whole idea is that we transfer it back to their team so that their engineers can use it and gain those efficiencies for the rest of the time that that company is in business.
Jordan Wilson [00:03:20]:
Yeah. And I'm and I'm always curious, Andrew, especially those that have been working in the AI space since before, the generative AI wave that we're all, you know, being sucked under right now. You know, what's what's been the biggest change that you've noticed in terms of, general appetite. Right? So, yes. You know, AI is is democratized now with large language models, but, you know, have you noticed anything else, you know, having built in the space, in the artificial intelligence, space before this big wave?
Andrew Amann [00:03:48]:
Yeah. I mean, the first one that's very clear and obvious is saying the word AI does not mean GenAI. So back then, we could use AI interchangeably with ML or NLP or any of those other subsystems. But now people just assume that it's Chatu BT, which kind of stinks for us because we have to retrain them. I would also say the hardest thing today is I'm talking to 5 or 6 CEOs that are in the 100,000,000 to $1,000,000,000 range of running their companies. They're very confused about what to do. They are receiving way too much information, way too many people on Twitter or friends that they've had. Tell them to download the latest hot hottest AI tool, use it, and how much it's saving in their business.
Andrew Amann [00:04:27]:
And they don't know where to start. They don't know how to use it. They don't know who to train in their business. And so they're coming to us thinking that we can solve all their problems without even having a baseline of, like, where to start and thinking that, like, we're the magic wizard that can just say, here's AI, and you're done. You just solved your problems. So it's just like the education gap that exists now is so much farther than it was back then when somebody's like, Hey, I got a product. I'm selling it on an e comm site. Tell me which product I should give to this person because they're in this cohort and use some machine learning to figure it out.
Andrew Amann [00:04:57]:
And that would be way easier than I have a $300,000,000 business. Can you install AI at somewhere?
Jordan Wilson [00:05:03]:
It's it's such a good point. Andrew, don't even let me start. I'm gonna go on a quick, like, 10 second rant here. Hey. If that's you, CEOs, who are just seeing things on Twitter and and telling people like, Andrew, oh, go Infuse AI. Number 1, that's that's not how it works. Number 2, most of those posts you see on social media about this hot new tool, they're actually ads that those people are not disclosing. Sorry.
Jordan Wilson [00:05:26]:
That's that that that's like a something that grinds my gears when people are, you know, breaking FTC rules and, you know, promoting all these tools and in these pods and these groups, and you think it's the next big thing, and it's no. It's a trash product. Anyways, how do you get that rant out of the way? It's all correct. It's a correct rant. Yeah. Yeah. Let's let's let's jump to the end here, Andrew, and talk about this AI race. And is it actually going to be the search bar? What does that even mean, the AI race going to the search bar?
Andrew Amann [00:05:55]:
Yeah. If you if you if you work backwards from where we're heading and you try to piece together why people are racing to acquire as much information as possible, aka like Google and and Apple. They're all crawling the Internet now and trying to carve out their corner of the data that they can own. And you're talk you're also seeing companies like CNET having a very tough time surviving because all of their information has been crawled, and they're trying to figure out a place to exist because they're no longer an isolated website that you need to go to. You can just use an AI overview. But if you work backwards from like, why is everyone doing this? And what is from 5 years from now, what is it gonna look like on everybody's phone and everybody's laptops? Well, there's 2 very obvious things that I think we all wish we had immediately once we hear about AI, and that is a personal know it all assistant that only knows about me, that is very private, that is very secure, that can do tasks that I assign it to, that I say, go do this, go do this, go do this. And that AI assistant goes out and does those tasks in a very trustworthy, private, and secure manner. If we start there and let's say that happens in 2026 or 2027 and we peel back to today, what is the thing that needs to change to allow that to happen? And if you think of how humans interact with computers, we all have this information stored in our brain of where our information lives across the Internet.
Andrew Amann [00:07:14]:
For me, specifically, I call it app stacking. So for me, specifically, I use Bamboo for my 3 d printing. I use Bank of America for my my, banking application. I use Uber when I try to order a taxi cab. I use Airbnb when I shop for a hotel. I also use Chase Bank. So there's this whole series of apps that has my information stored in their databases. Only I, only my brain knows where to get that information from and call that server, retrieve the information, and then tell me the answer that I was looking for.
Andrew Amann [00:07:44]:
And we use the series of apps to do that. And back in the day, we used to use website URLs. Well, if I have a smartest assistant sitting next to me and I want that assistant to log in to these services to retrieve the information for me so I don't have to, how am I going to do that? And the answer is obviously the search bar. And I I I simplify it by saying the keyboard, but the input device to these pieces of hardware because my brain knows all of this information, and I now need to train my my trusted assistant where all this information lives. So I give it access to the apps. I give it access to the websites. I give it my passwords. I give it my usernames.
Andrew Amann [00:08:22]:
And I then say, can you please order me a taxi cab? Can you take me to the airport, book a flight to Boston, make sure when I land in Boston that I text my wife that I've landed, then, I have to pick up my kids at soccer. Can you please put that on the calendar that I'm gonna be 15 minute late if if I am? And so you just you command these things, and then the agent needs to go off and do that. But since I'm doing that from the search bar from my input device to my piece of hardware, that search bar is gonna have a lot of information about me. And we need to think about a future in which one search bar, no longer this spread out server farm of all these apps and all these different servers that only my brain knows where it is, this one search bar is gonna have to know all of this information to retrieve it and take action.
Jordan Wilson [00:09:07]:
And this is very real. Right? Like, if you're hearing what Andrew just said, this isn't some, you know, some, obscure topic that just a couple c suite people at at Google or Apple are are talking about. This is very real. Right? So, you know, I know that, as an example, Google did pay Apple, I think it was $22,000,000,000 or something like that. It was more than $20,000,000,000 in in 20, 22 to be the default search engine. And then you've seen, you know, recent news now, ChatGPT is is trying to carve out its space in there by, you know, releasing, you know, their kind of Chrome extension that takes instead of if you're searching for something where you normally search to Google, it takes you to straight to ChatGPT. Andrew, how hot is this race right now, especially with all things going on in AI? How hot is the race for that search bar?
Andrew Amann [00:09:57]:
Yeah. And I, I specifically have asked people at these companies, like, what are you actually trying to achieve? What is your goal in releasing Chrome extensions? What is your goal in releasing AI overviews? Why, why does someone need to search perplexity differently than they do Google? And how does Google Ads fit in? There's all these, like, non primary events happening underneath of why these events are taking place. AI overview specifically is a very interesting Internet challenge, I imagine, for Google because they paste the AI overview at the top, then they put some sort of Google previous legacy best answer in their own text right underneath it, which is very similar to the AI overview, if not stolen exactly from the SEO article. Then beneath that are 3 sponsored links. Then beneath that are people may ask. Then beneath that are Reddit threads. Right? It's very confusing. And so the the goal of these companies is trying to land grab data so that they can provide the best answer possible when it's called upon.
Andrew Amann [00:10:57]:
Well, maybe that is no longer a problem. We've all been able to crawl the internet. Not we all, but like Google, Microsoft. I'm sure Apple's trying to do it behind the scenes. Perplexity is using just Google search to do its special tax tactics, but that all the companies they're trying to achieve this dominance in that they have the answer when somebody asks a question. And to do that, once you get enough knowledge from enough people using your system, you then can start predicting what people will be asking and therefore putting it on their phone before they ask, reducing the latency, decreasing the cost. And so that the knowledge gap between today, which is I have to call a cloud service large language model that is very unsecure, do my prompting, and then retrieve an answer, to then bringing that all to the device and having that device be secure, private, and have a conversation with the actual apps on my phone securely and privately, that is the direction we all are heading. And I think even today, they're trying to be that first mover so that ChatGPT is the only one that can call Uber apps, right, for instance.
Andrew Amann [00:12:00]:
And if they have that locked up, I can only use ChatGPT to call Uber. I can't use my Google Gemini, which is built into my phone, or I can't use Siri, which is built into my phone to call an Uber. So that's what I think they're racing towards.
Jordan Wilson [00:12:13]:
Yeah. I still think Siri and and Alexa and some of those other, you know, dumb assistants are trying to figure out, you know, 1 plus 1 or what today is. But, you know, as we as we look forward to, to a more, you know, knowledgeable and and useful, future with these kind of, you know, kind of AI assistance that you're talking about, here, Andrew. How does this ultimately change the, you know, the average business owner, the the average individual? Right? Like, how does this actually change our day to day? Because, you know, kinda like what I talked about at the top of the show, are large language models getting commoditized? And if so, what does this kind of race, to search ultimately mean for all these big tech and AI companies for the rest of us?
Andrew Amann [00:12:58]:
I think there's 2 major things that are very clear that's happening, in my view, is that the bigger the company that they are, the more data they have. You're gonna see less competitors if they use AI correctly. There are people that I'm talking to in very specific industries that have 2 or 3 competitors in that space. And let's say they all share 33% of the pie. The first one to achieve market dominance with AI and can reduce their revenue per employee. So basically increase revenue while decreasing employees and just creating more profit. They're going to be able to reduce their prices to the point that the other two competitors have to get out of that business in that niche. So I think the bigger the business and the more advantages they have to spend money on AI, the the earlier opportunity they're gonna have to completely dominate that niche.
Andrew Amann [00:13:45]:
On the smaller side, I think websites are irrelevant. I I've said this for a while that a restaurant, website is the most pointless piece of real estate on the entire Internet. I'd never need to go to a website that a restaurant website and look at the menu, look at the pictures, look at what all that is. A restaurant only needs to advertise on Yelp. They need to be on Google Maps, and they need to be on maybe Uber Eats and all of those other services in which places can be ordering the food and retrieving that food. So if I need to get a place in Boston, I need to be on the top ten list of restaurants in Boston. I don't need to have my own website. It's pointless to go to Moo, which is a restaurant here in Boston, and just look at pictures of steaks.
Andrew Amann [00:14:24]:
All I'm there is to look at the menu, if they have a reservation, and if if I can get to that reservation. Take that one step further. It's completely pointless in an AI world when I shout into my Siri or or Google voice or any of that and say, give me the top 3 restaurants in Boston. I'm with my wife. I have 2 kids. I wanna be done by 7 o'clock. Make sure I get a reservation that only has an hour and a half wait. Like all of those list of things that I specifically need to give me my personal result of restaurant.
Andrew Amann [00:14:51]:
I don't need a website to then do that next research. I just need to trust my AI assistant. So I think small businesses need to get out of building UI, UX, servers, websites, and all that, and just focus on the experience of where can you live when people are searching for the thing that you're selling.
Jordan Wilson [00:15:08]:
So to to play a little bit of devil's advocate here, and I get what you're saying because as a as a consumer, as myself, as a small business owner, I very rarely go on websites anymore. It is it is a a mind numbing, hair pulling out of my head experience. It's terrible. Right? Can compared to the alternative of using a large language model and getting the information you need, you know, a little more efficiently, a little more effectively. But, right, someone else might be saying, oh, well, you know, especially if they, you know, outside of the restaurant's example. Right? Maybe they're a a a nationwide, you know, I don't know, auto service, detailer, whatever. I don't know. Right.
Jordan Wilson [00:15:49]:
But you want your information to be gobbled up by these large language models. Right? So are you maybe suggesting, you know, business owners pay less attention to getting their presence out on the Internet? Because ultimately, what's on their website isn't gonna matter as much anymore even though that is the content feeding all of these big, you know, AI, conglomerates.
Andrew Amann [00:16:11]:
Yeah. I I don't know many small businesses that won at the SEO game. Marketers have ruined SEO for the last 10 years by creating top 10 listicles, blogs, and all of these other words that are just made up words of why you should rank in SEO. So Joe's Pizza Shop on the corner of Boston is not going to all of a sudden win at the SEO game and beat out, you know, these these crazy pizza places that have been around for 50 years and have SEO results and Boston Globe backlinks and all those other things that exist. So any even the detailing shop you gave, any of those SEO plays, I think, are just completely gone for a small business that just has a domain authority of less than 30 or 40. The play they should be focusing on is what is the long tail keyword that people are searching? Best pizza in Boston for a family of 4. If you have that entire sentence and you give up on best pizza and you give up on pizza shop in Boston and you give up on all the other ones that people are ranking for and you focus on best pizza shop for family of 4 and you go on Reddit and you go on all the places with the communities and you talk about being the best pizza place for a family of 4 and why you're there, and you focus on reviews and have those people go on Google reviews and Reddit and Facebook at places that Google can crawl, though. So Facebook doesn't really count, but Reddit does and Twitter does.
Andrew Amann [00:17:31]:
And you'd keep talking about best for family of 4. You should show up in the AI overview when somebody asks in their chat assistant, I'm driving to Boston. I need a place. Right? That is the effort you should be putting in now in focusing on what your restaurant's truly good at, why people come to you, and having conversations about that on the Internet where Google can see it.
Jordan Wilson [00:17:56]:
And let me give a quick shout out to our partners again from Microsoft WorkLab. So why should you listen to the WorkLab podcast from Microsoft? Well, it explores the questions business leaders are asking. How can they guide their organization's AI adoption journey? How can AI help them maximize value and create new products in business models? How should they help their teams reskill for this new era of work? And why is it important to be completely transparent about when and how you use AI? So find the answers on WorkLab. That's worklab, no spaces, available wherever you get your podcast. So that's that's a great point. Right? It's it's where do ultimately people trust, and I think what you said there, you know, Andrew, makes sense. Right? Like, yeah, Reddit has become the new search engine or TikTok or, you know, whatever, whatever genre you you you know, you might choose. I guess it depends on how old you are as well.
Jordan Wilson [00:18:56]:
But, you know, if if if we look back at this kind of, rush, toward the search bar but also toward hardware, right, so, you know, perplexity as an example, was recently confirmed to be working on a hardware device. We've heard now for nearly a year, how OpenAI is reportedly doing the same. If the rush is toward the search bar, why are companies you know, these AI companies may be playing, the long game with hardware, and how does that all add up? Google
Andrew Amann [00:19:28]:
has everything that Chatchibt has internally. If they could figure out their marketing and they could figure out how to deploy this properly, I'm I'm not positive that Gemini is a worse experience than Chatchibt. Now there are benchmarks and people can show me a quick prompt that says, look, ChatJi bt outperforms this every single day, and look at the billions of parameters it was trained on to do this. I'm sure Google can also compete with that if you give it enough time. So the commodity being the large language model is not necessarily what they're competing on right now. The, hardware that Google can release, and I have the new Google Pixel 9, and I have Gemini built into it. I've never used a voice assistant before up until this day. I mean, every once in a while, and I just shout at Google, and now it's responding to me.
Andrew Amann [00:20:12]:
But, like, every once in a while, I'd be like, set a timer, you know, add this to my to do list. Those those simple commands that I would do that it would definitely I would know that I'm not wasting my time and need to pick up my phone anyways to start typing. But the other night, I was sitting with my daughter, and she asked about planets. And I said, I can explain to you that there's 8 planets instead of 9. And she was asking about the moons of the planets, and I'm like, we're getting deep. Why don't we have a conversation with Gemini? And I popped it open and it was a natural conversation between the 3 of us of asking about planets, learning about planets, interrupting about the story that it went on and started telling. And we're like, alright, that's enough. Like, we know about Pluto not being a planet anymore.
Andrew Amann [00:20:52]:
Let's let's focus on Neptune. And that natural conversation is now the experience that I'm having with a piece of hardware that so happened has a large language model built into it. If ChatcheBT doesn't compete with the hardware side of things, there is no reason I'm ever going to log in to ChatChipt. Because Gemini, what I'm paying for, $20 a month, plus I get this built into my plan right now with Google. It's like having a service plan. And I truly believe what will happen is that these tokens that we're all paying for right now are going to be agent tokens or agent currency to do tasks for me. And only the hardware can service and control those tasks because it's monetary transaction at that point. So let's say I get a 100 tokens for the month, and I know that small, but maybe the model is only doing a penny.
Andrew Amann [00:21:37]:
Right? And so let's say I get a 100 token for the month, and I'm starting to talk about planets. I use 13 tokens to talk about that planet. That's my bill for the month, and only the hardware and software that's integrated together can do that. And so ChatChBT sit standing there out in the cold being, like, you gotta go to my website. You gotta type in openai.com or ChatGPT.com. Then you gotta search. Then you gotta log in. Oh, and if you're on the browser, I forgot that you logged in before.
Andrew Amann [00:22:00]:
Let's log in again. As before, Google and Apple are gonna have a button on the side of their phone to start having that conversation. And being able to do things like privacy controls, logging into apps for me, figuring out how those apps remember previous requests and making sure that those requests are not, like, stupid voice bots like Siri is all the time. Right? So all of that's built into the hardware. And I I I really think that if ChatchipBT does not come out with a phone, they're gonna be left in the dark of, like, wishing they had done the phone earlier to compete with Google and Apple.
Jordan Wilson [00:22:33]:
It's it's it's interesting. Right? Because it makes it makes perfect sense, but also, you know, some of these, companies have have decades. Right? Decades ahead of everyone else in terms of, you know, hardware, and it's not always as easy. Right? But, you know, I'm curious. You mentioned something there, Andrew, about security. Right? Because I don't think that there's, any one piece of, technology or one piece of software that knows more about you and individual as the search bar that you use. Right? I I always joke around with my wife because her searches are all over the place. Right? And it's like, oh, someone could see these searches.
Jordan Wilson [00:23:13]:
It's just, you know, hilarious. But, you know, when we talk about this this, kind of pivot or this, eventual how we might be using AI in the search bar on the phone, how do we need to be looking at security maybe a little differently, or is it just kind of the same thing as, you know, how we've always used, you know, google.comsearch?
Andrew Amann [00:23:34]:
Yeah. You gotta remember that it's actually one step further. So, like, your Google search results, sure, they're, like, really funny because it's all things that you ask for. Your, like, wife's trying to figure out, like, how do I cut carrots with a spoon? And you're like, okay. Well, why would you ever search that? Because we have a knife in the house. Right? So there are funny searches, but Google does not know about your searches inside of, let's say, Amazon. They don't know about your searches inside of Bank of America or maybe customer support chats you've had with your wealth adviser. And that might get merged.
Andrew Amann [00:24:04]:
And that's the scary part of this is that once you start combining apps that exist independently, where your information is divided and you can't kind of piece it together with just Google to figure out who this person truly is on other services, That search bar is going to start having that information. And so from the security of that standpoint, I'm very worried, right? Google's not the best trustworthy long term experience with good I keep saying Google, my phone's going nuts. They don't have the best track record with users on their platform in securing their data. Apple has been touting it, maybe predicting for this day when they can finally release a large language model or use AI correctly anywhere besides the messaging app on Apple, like, but once they figure that out, there is going to be a privacy concern with everything being routed through that piece of hardware. I hope Perplexity and Claude and and ChatGPT come out with their own hardware and software combinations or even just their software combination that the government says to Google, you cannot own that search bar. Perplexity can come in, and you can pay $20 a month or $30 a month, whatever it is, to use perplexity as your voice assistant, your keyboard, your input to interact with the other apps. Because without that control, Google will obviously try to wall garden any outside searches from Google and try to control that because that data is that valuable. And same with Microsoft.
Andrew Amann [00:25:27]:
I'll take this one step further. Imagine sitting in a workplace with Office 365. Of course, Microsoft is gonna monitor everything you do, say, talk about, interact with your work computer because the employer owns that data. So how do you get out of that, too? Like, Microsoft's going to own that experience with that search for work. Right? It's all this, like, security stuff that really, really is going to change things. And I don't see a solution outside the government stepping in and saying you cannot, like, limit people like they do with the browsers right now.
Jordan Wilson [00:25:58]:
So, Andrew, we've talked about a lot in today's conversation from, this kind of shift going from, you know, commoditized large language models to search engines, right, or, AI smart search, answers engines. We've talked about, now kind of the pivot for these companies also wanting to get into hardware and the privacy concerns that come along with it all. But as we wrap up, what's the one most important thing that you think people need to know, when it comes to this kind of AI race and where it's headed, at least towards search and devices?
Andrew Amann [00:26:31]:
Yeah. I would say that it's not moving as fast as people are saying it's moving. You'll hear every single podcast in person speaking that AI is going at a breakneck speed. The average person is not seeing that. The people that are not in tech are not experiencing it. If they're not logging into Chatubit, they have no idea how to even use it properly. So while it's moving fast for our technologists and the people in technology, we're seeing the shift, just like we saw the shift with Bitcoin or, you know, any of the the Internet when it happened. There's a bubble that's going to happen in which finally the the mass amount of people move to it.
Andrew Amann [00:27:07]:
But I think for the most part, the average person and people listening to your podcast, I listen to a few shows, like, the average person that is looking at AI should just learn the basics. How does a voice model work? How does Chatroubt work? How should I be using it? How can it help my daily assignments that I get tasked with? And how can I safely use it? And if you start there, you don't have to be an AI expert. You don't have to, like, solve world hunger by, like, prompting. You just have to know how to use the technology and know that when something gets asked of you, you get under the habit of using AI to solve that so that you can do something else with your life. And that's it. That's it. If you just do that now, if you use Gemini, it doesn't matter. If you use Claude, it doesn't matter.
Andrew Amann [00:27:48]:
If you use, Chargebee T, like, pick one of them and just get in the habit of using it so that you can get better and better at prompting and working with AI.
Jordan Wilson [00:27:56]:
Great advice, and I think that's a great spot to end. Yeah. Just understand what's going on. Right? And, hey, maybe I'm biased, but there's no better place to do it than I think right here. So, Andrew, thank you so much for taking time out of your day to join us and help us better understand what's going on in the space here. We really appreciate your time.
Andrew Amann [00:28:16]:
Thanks, Jordan, for having me. I appreciate it. It was a pleasure.
Jordan Wilson [00:28:18]:
And, hey, as a reminder to y'all, I said every single day we break down. If you miss something, maybe you're running on the treadmill or walking your dog and your dog went off in the other direction. You're like, what did Andrew say? Don't worry. It's all gonna be in our newsletter. So if you haven't already, please go to your everydayai.com. Sign up for that free daily newsletter, and we'll see you back tomorrow in every day for more everyday AI. Thanks, y'all.
Andrew Amann [00:28:43]:
Thanks.